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Cost sensitivity of optimal sector-coupled district heating production systems

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  • Dahl, Magnus
  • Brun, Adam
  • Andresen, Gorm B.

Abstract

Goals to reduce carbon emissions and changing electricity prices due to increasing penetrations of wind power generation affect the planning and operation of district heating production systems. Through extensive multivariate sensitivity analysis, this study estimates the robustness of future cost-optimal heat production systems under changing electricity prices, fuel cost and investment cost. Optimal production capacities are installed choosing from a range of well-established production and storage technologies including boilers, combined heat and power (CHP) units, power-to-heat technologies and heat storages. The optimal heat production system is characterized in three different electricity pricing scenarios: Historical, wind power dominated and demand dominated. Coal CHP, large heat pumps and heat storages dominate the optimal system if fossil fuels are allowed. Heat pumps and storages take over if fossil fuels are excluded. The capacity allocation between CHP and heat pumps is highly dependent on cost assumptions in the fossil fuel scenario, but the optimal capacities become much more robust if fossil fuels are not included. System cost becomes less robust in a fossil free scenario. If the electricity pricing is dominated by wind power generation or by the electricity demand, heat pumps become more favorable compared to cogeneration units. The need for heat storage more than doubles, if fossil fuels are not included, as the heating system becomes more closely coupled to the electricity system.

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  • Dahl, Magnus & Brun, Adam & Andresen, Gorm B., 2019. "Cost sensitivity of optimal sector-coupled district heating production systems," Energy, Elsevier, vol. 166(C), pages 624-636.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:624-636
    DOI: 10.1016/j.energy.2018.10.044
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    as
    1. Sartor, K. & Quoilin, S. & Dewallef, P., 2014. "Simulation and optimization of a CHP biomass plant and district heating network," Applied Energy, Elsevier, vol. 130(C), pages 474-483.
    2. Münster, Marie & Morthorst, Poul Erik & Larsen, Helge V. & Bregnbæk, Lars & Werling, Jesper & Lindboe, Hans Henrik & Ravn, Hans, 2012. "The role of district heating in the future Danish energy system," Energy, Elsevier, vol. 48(1), pages 47-55.
    3. Rasmussen, Morten Grud & Andresen, Gorm Bruun & Greiner, Martin, 2012. "Storage and balancing synergies in a fully or highly renewable pan-European power system," Energy Policy, Elsevier, vol. 51(C), pages 642-651.
    4. Henrik Lund & Finn Arler & Poul Alberg Østergaard & Frede Hvelplund & David Connolly & Brian Vad Mathiesen & Peter Karnøe, 2017. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling," Energies, MDPI, vol. 10(7), pages 1-17, June.
    5. Becker, S. & Rodriguez, R.A. & Andresen, G.B. & Schramm, S. & Greiner, M., 2014. "Transmission grid extensions during the build-up of a fully renewable pan-European electricity supply," Energy, Elsevier, vol. 64(C), pages 404-418.
    6. Åberg, M. & Henning, D., 2011. "Optimisation of a Swedish district heating system with reduced heat demand due to energy efficiency measures in residential buildings," Energy Policy, Elsevier, vol. 39(12), pages 7839-7852.
    7. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    8. Averfalk, Helge & Ingvarsson, Paul & Persson, Urban & Gong, Mei & Werner, Sven, 2017. "Large heat pumps in Swedish district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1275-1284.
    9. Åberg, M. & Widén, J. & Henning, D., 2012. "Sensitivity of district heating system operation to heat demand reductions and electricity price variations: A Swedish example," Energy, Elsevier, vol. 41(1), pages 525-540.
    10. Nielsen, Maria Grønnegaard & Morales, Juan Miguel & Zugno, Marco & Pedersen, Thomas Engberg & Madsen, Henrik, 2016. "Economic valuation of heat pumps and electric boilers in the Danish energy system," Applied Energy, Elsevier, vol. 167(C), pages 189-200.
    11. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    12. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    13. Burer, M. & Tanaka, K. & Favrat, D. & Yamada, K., 2003. "Multi-criteria optimization of a district cogeneration plant integrating a solid oxide fuel cell–gas turbine combined cycle, heat pumps and chillers," Energy, Elsevier, vol. 28(6), pages 497-518.
    14. Steen, David & Stadler, Michael & Cardoso, Gonçalo & Groissböck, Markus & DeForest, Nicholas & Marnay, Chris, 2015. "Modeling of thermal storage systems in MILP distributed energy resource models," Applied Energy, Elsevier, vol. 137(C), pages 782-792.
    15. Arabkoohsar, A. & Andresen, G.B., 2017. "Design and analysis of the novel concept of high temperature heat and power storage," Energy, Elsevier, vol. 126(C), pages 21-33.
    16. Buoro, Dario & Pinamonti, Piero & Reini, Mauro, 2014. "Optimization of a Distributed Cogeneration System with solar district heating," Applied Energy, Elsevier, vol. 124(C), pages 298-308.
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